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Record W3107453141 · doi:10.1136/esmoopen-2020-001079

Nivolumab plus ipilimumab versus sunitinib for first-line treatment of advanced renal cell carcinoma: extended 4-year follow-up of the phase III CheckMate 214 trial

2020· article· en· W3107453141 on OpenAlexafffund
Laurence Albigès, Nizar M. Tannir, Mauricio Burotto, David F. McDermott, Elizabeth R. Plimack, Philippe Barthélémy, Camillo Porta, Thomas Powles, Frede Donskov, Saby George, Christian Kollmannsberger, Howard Gurney, Marc‐Oliver Grimm, Yoshihiko Tomita, Daniel Castellano, Brian I. Rini, Toni K. Choueiri, Shruti Shally Saggi, M. Brent McHenry, Robert J. Motzer

Bibliographic record

VenueESMO Open · 2020
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsBC Cancer Agency
FundersNational Cancer InstituteBristol-Myers Squibb CanadaNational Institutes of HealthMemorial Sloan-Kettering Cancer Center
KeywordsSunitinibMedicineIpilimumabNivolumabRenal cell carcinomaInternal medicineGastroenterologyOncologyCancerImmunotherapy

Abstract

fetched live from OpenAlex

PURPOSE: To report updated analyses of the phase III CheckMate 214 trial with extended minimum follow-up assessing long-term outcomes with first-line nivolumab plus ipilimumab (NIVO+IPI) versus (vs) sunitinib (SUN) in patients with advanced renal cell carcinoma (aRCC). METHODS: Patients with aRCC with a clear cell component were stratified by International Metastatic Renal Cell Carcinoma Database Consortium risk and randomised to NIVO (3 mg/kg) plus IPI (1 mg/kg) every three weeks ×4 doses, followed by NIVO (3 mg/kg) every two weeks; or SUN (50 mg) once per day ×4 weeks (6-week cycle). Efficacy endpoints included overall survival (OS), progression-free survival (PFS) and objective response rate (ORR) per independent radiology review committee in patients with intermediate/poor-risk disease (I/P; primary), intent-to-treat patients (ITT; secondary) and in patients with favourable-risk disease (FAV; exploratory). RESULTS: Overall, 1096 patients were randomised (ITT: NIVO+IPI, n=550, SUN, n=546; I/P: NIVO+IPI, n=425, SUN, n=422; FAV: NIVO+IPI, n=125, SUN, n=124). After 4 years minimum follow-up, OS (HR; 95% CI) remained superior with NIVO+IPI vs SUN in ITT (0.69; 0.59 to 0.81) and I/P patients (0.65; 0.54 to 0.78). Four-year PFS probabilities were 31.0% vs 17.3% (ITT) and 32.7% vs 12.3% (I/P), with NIVO+IPI vs SUN. ORR remained higher with NIVO+IPI vs SUN in ITT (39.1% vs 32.4%) and I/P (41.9% vs 26.8%) patients. In FAV patients, the HRs (95% CI) for OS and PFS were 0.93 (0.62 to 1.40) and 1.84 (1.29 to 2.62); ORR was lower with NIVO+IPI vs SUN. However, more patients in all risk groups achieved complete responses with NIVO+IPI: ITT (10.7% vs 2.6%), I/P (10.4% vs 1.4%) and FAV (12.0% vs 6.5%). Probability (95% CI) of response ≥4 years was higher with NIVO+IPI vs SUN (ITT, 59% (0.51 to 0.66) vs 30% (0.21 to 0.39); I/P, 59% (0.50 to 0.67) vs 24% (0.14 to 0.36); and FAV, 60% (0.41 to 0.75) vs 38% (0.22 to 0.54)) regardless of risk category. Safety remained favourable with NIVO+IPI vs SUN. CONCLUSION: After long-term follow-up, NIVO+IPI continues to demonstrate durable efficacy benefits vs SUN, with manageable safety. TRIAL REGISTRATION DETAILS: ClinicalTrials.gov identifier: NCT02231749.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.334
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations522
Published2020
Admission routes2
Has abstractyes

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